Your Search Results

Visual Communication in Space and Time

Colour in nature is a central channel of communication, though its study has progressed without consideration of the inherent fluidity of information exchange.  This project se more...

Supervisor(s): White, Thomas (Dr)

Deconstructing the Galaxy - in search of giant waves

For the first time, we are able to probe the Milky Way in 6 dimensions - i.e. 3D spatial position, 3D kinematic motion - for millions, even billions of stars.  We can slice the more...

Supervisor(s): Bland-Hawthorn, Joss (Professor)

Michael Tawa's Research Area

Michael Tawa's Academic Profile more...

Supervisor(s): Tawa, Michael (Professor)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)

Machine learning and optimisation for modelling coral reef evolution

Globally, coral reef systems are under threat from major changes in environmental parameters (e.g. sea level, sea surface temperature, pH and water quality). Forward Forward Stratig more...

Supervisor(s): Webster, Jody (Professor), Chandra, Rohitash (Dr), Salles, Tristan (Dr)

Understanding the growth of hydrodynamic instabilities in Inertial Confinement Fusion

The National Ignition Facility (NIF) in the USA has managed to achieve a fusion fuel gain of 1 in landmark experiments. However, the targeted gain is substantially higher than this more...

Supervisor(s): Thornber, Ben (Dr)

Compressible Turbulent Mixing

A fundamental understanding of compressible turbulent mixing is critical to advancing technologies in aeronautical, automotive, clean energy and acoustics. This project aims to deve more...

Supervisor(s): Thornber, Ben (Dr)

Online digital mapping for better farm management

Digital agriculture draws decision to support on-farm management from a suite of soil and environmental data. Soil and many environmental data in Australia are currently available a more...

Supervisor(s): Minasny, Budiman (Professor)

Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

Enhancing heat transfer by natural convection

The project aims to explore innovative techniques for enhancing heat transfer by natural convection. more...

Supervisor(s): Lei, Chengwang (Professor)